Money transactions can be performed by automated self‐service machines like ATMs for
money deposits and withdrawals, banknote counters and coin counters, automatic vending …

Face parsing is an important computer vision task that requires accurate pixel segmentation
of facial parts (such as eyes, nose, mouth, etc.), providing a basis for further face analysis …

It is easy for a normal human being to perceive and recognize any banknote effortlessly but
it is really much difficult for any visually impaired or blind person to perform the same task …

In most data dimensionality reduction tasks, feature selection (FS) is an essential
preprocessing stage. The slime mould algorithm (SMA) is a novel metaheuristic optimization …

Tactual exploration of objects produce specific patterns in the human brain and hence
objects can be recognized by analyzing brain signals during tactile exploration. The present …

Many works have posited the benefit of depth in deep networks. However, one of the
problems encountered in the training of very deep networks is feature reuse; that is, features …

The dirty degree of banknotes determines to some extent whether banknotes can continue
to circulate. This paper proposes a whale optimization algorithm based multi-layer support …

Dealing with classification problems requires the crucial step of feature selection (FS), which
helps to reduce data dimensions and shorten classification time. Feature selection and …

The work in this paper investigates developing an identification system for 21 countries
using images of their banknotes and neural network classifiers. We consider the banknotes …

A normal human being can easily identify and recognize any banknote, but it is extremely
difficult for a visually impaired or blind individual to do so. Currency plays a significant role in …